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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,87 @@
+---
+license: gemma
+base_model: google/gemma-4-E2B-it
+base_model_relation: quantized
+pipeline_tag: text-generation
+tags:
+  - MLC-LLM
+  - web-llm
+  - webgpu
+  - gemma4
+  - quantized
+  - browser
+---
+
+# Gemma 4 E2B IT q4f16_1 MLC
+
+Text-first MLC/WebLLM packaging of `google/gemma-4-E2B-it` in `q4f16_1` for browser-local WebGPU and MLC-LLM runtimes.
+
+## Model Details
+
+- Base model: `google/gemma-4-E2B-it`
+- Quantization: `q4f16_1`
+- Runtime target: `webgpu`
+- Model type: `gemma4`
+- Conversation template: `gemma_instruction`
+- Packaged context window: `4096`
+- Sliding window size: `512`
+- Prefill chunk size: `1024`
+- Parameter shards: `42`
+- Quantized parameter size: `2.453 GB`
+- Total artifact size: `2.676 GB`
+- WebGPU model library: `8.7 MB`
+- Release manifest: `release-manifest.json`
+
+`q4f16_1` is used here as the default browser-focused MLC target: 4-bit weights with FP16 runtime dtype.
+
+## Usage
+
+### Chat
+
+```bash
+mlc_llm chat HF://welcoma/gemma-4-E2B-it-q4f16_1-MLC
+```
+
+### WebLLM Integration
+
+```ts
+import { CreateMLCEngine } from "@mlc-ai/web-llm";
+
+const repo = "https://huggingface.co/welcoma/gemma-4-E2B-it-q4f16_1-MLC";
+
+const appConfig = {
+  model_list: [
+    {
+      model: repo,
+      model_id: "gemma-4-E2B-it-q4f16_1-MLC",
+      model_lib: `${repo}/resolve/main/libs/gemma-4-E2B-it-q4f16_1-MLC-webgpu.wasm`,
+      required_features: ["shader-f16"],
+    },
+  ],
+};
+
+const engine = await CreateMLCEngine("gemma-4-E2B-it-q4f16_1-MLC", {
+  appConfig,
+});
+```
+
+## Files
+
+- `mlc-chat-config.json`: MLC runtime configuration
+- `tokenizer.json`: fast tokenizer data
+- `tokenizer_config.json`: tokenizer settings
+- `params_shard_*.bin`: quantized parameter shards
+- `tensor-cache.json`: tensor metadata cache
+- `release-manifest.json`: file inventory with SHA-256 hashes
+- `libs/gemma-4-E2B-it-q4f16_1-MLC-webgpu.wasm`: compiled WebGPU model library
+
+## Limitations
+
+- This package is text-first. It does not expose Gemma 4 image or audio features in WebLLM.
+- The packaged context window is `4096`, even though the base model advertises a much larger native context length.
+- This build currently depends on a Gemma 4 patchset on top of `mlc-llm`; upstream support is still being worked on.
+- Browser use still requires WebGPU and `shader-f16` support.
+
+## License
+
+This repository follows the same license and usage terms as the base model, `google/gemma-4-E2B-it`.

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mlc-chat-config.json

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+{
+  "version": "0.1.0",
+  "model_type": "gemma4",
+  "quantization": "q4f16_1",
+  "model_config": {
+    "text_config": {
+      "hidden_size": 1536,
+      "intermediate_size": 6144,
+      "num_hidden_layers": 35,
+      "vocab_size": 262144,
+      "attention_bias": false,
+      "attention_dropout": 0.0,
+      "num_attention_heads": 8,
+      "num_key_value_heads": 1,
+      "head_dim": 256,
+      "rms_norm_eps": 1e-06,
+      "hidden_activation": "gelu_pytorch_tanh",
+      "context_window_size": 131072,
+      "prefill_chunk_size": 8192,
+      "sliding_window_size": 512,
+      "layer_types": [
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "full_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "full_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "full_attention",
+        "sliding_attention",
+        "sliding_attention",
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+        "sliding_attention",
+        "full_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "full_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "full_attention"
+      ],
+      "position_embedding_base": 10000.0,
+      "global_position_embedding_base": 1000000.0,
+      "hidden_size_per_layer_input": 256,
+      "vocab_size_per_layer_input": 262144,
+      "num_global_key_value_heads": 1,
+      "global_head_dim": 512,
+      "attention_k_eq_v": false,
+      "num_kv_shared_layers": 20,
+      "enable_moe_block": false,
+      "use_double_wide_mlp": true,
+      "num_experts": null,
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+      "final_logit_softcapping": 30.0,
+      "tensor_parallel_shards": 1,
+      "max_batch_size": 1,
+      "kwargs": {
+        "bos_token_id": 2,
+        "dtype": "bfloat16",
+        "eos_token_id": 1,
+        "expert_intermediate_size": null,
+        "initializer_range": 0.02,
+        "model_type": "gemma4_text",
+        "pad_token_id": 0,
+        "rope_parameters": {
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+            "rope_theta": 1000000.0,
+            "rope_type": "proportional"
+          },
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+            "rope_type": "default"
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+    "sliding_window_size": 512,
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+    "is_text_model": false
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+  "temperature": 1.0,
+  "presence_penalty": 0.0,
+  "frequency_penalty": 0.0,
+  "repetition_penalty": 1.0,
+  "top_p": 0.95,
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+    "system_message": "",
+    "system_prefix_token_ids": [
+      2
+    ],
+    "add_role_after_system_message": true,
+    "roles": {
+      "user": "<start_of_turn>user",
+      "assistant": "<start_of_turn>model"
+    },
+    "role_templates": {
+      "user": "{user_message}",
+      "assistant": "{assistant_message}",
+      "tool": "{tool_message}"
+    },
+    "messages": [],
+    "seps": [
+      "<end_of_turn>\n"
+    ],
+    "role_content_sep": "\n",
+    "role_empty_sep": "\n",
+    "stop_str": [
+      "<end_of_turn>"
+    ],
+    "stop_token_ids": [
+      1,
+      107
+    ],
+    "function_string": "",
+    "use_function_calling": false
+  },
+  "pad_token_id": 0,
+  "bos_token_id": 2,
+  "eos_token_id": [
+    1,
+    106,
+    50
+  ],
+  "model_task": "chat",
+  "embedding_metadata": null
+}

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